Articles with public access mandates - Kathleen McKeownLearn more
Available somewhere: 29
Twitter sentiment in New York City parks as measure of well-being
RA Plunz, Y Zhou, MIC Vintimilla, K Mckeown, T Yu, L Uguccioni, ...
Landscape and urban planning 189, 235-246, 2019
Mandates: US National Science Foundation
Analyzing the semantic types of claims and premises in an online persuasive forum
C Hidey, E Musi, A Hwang, S Muresan, K McKeown
Proceedings of the 4th Workshop on Argument Mining, 2017
Mandates: US Department of Energy, US Department of Defense
Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection
Y Fung, C Thomas, RG Reddy, S Polisetty, H Ji, SF Chang, K McKeown, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Mandates: US Department of Defense
A robust abstractive system for cross-lingual summarization
J Ouyang, B Song, K McKeown
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
Persuasive influence detection: The role of argument sequencing
C Hidey, K McKeown
Proceedings of the aaai conference on artificial intelligence 32 (1), 2018
Mandates: US Department of Energy, US Department of Defense
Automatically processing tweets from gang-involved youth: towards detecting loss and aggression
T Blevins, R Kwiatkowski, JC Macbeth, K McKeown, D Patton, O Rambow
Mandates: US National Science Foundation
Contextual analysis of social media: The promise and challenge of eliciting context in social media posts with natural language processing
DU Patton, WR Frey, KA McGregor, FT Lee, K McKeown, E Moss
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 337-342, 2020
Mandates: US National Institutes of Health
Cross-lingual sentiment transfer with limited resources
MS Rasooli, N Farra, A Radeva, T Yu, K McKeown
Machine Translation 32, 143-165, 2018
Mandates: US Department of Defense
Timeline summarization based on event graph compression via time-aware optimal transport
M Li, T Ma, M Yu, L Wu, T Gao, H Ji, K McKeown
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Fixed that for you: Generating contrastive claims with semantic edits
C Hidey, K McKeown
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Mandates: US Department of Energy
When do pre-training biases propagate to downstream tasks? a case study in text summarization
F Ladhak, E Durmus, M Suzgun, T Zhang, D Jurafsky, K McKeown, ...
Proceedings of the 17th Conference of the European Chapter of the …, 2023
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Detecting influencers in multiple online genres
S Rosenthal, K Mckeown
ACM Transactions on Internet Technology (TOIT) 17 (2), 1-22, 2017
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Event-centric natural language processing
M Chen, H Zhang, Q Ning, M Li, H Ji, K McKeown, D Roth
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Mandates: US Department of Defense
Crowd-sourced iterative annotation for narrative summarization corpora
J Ouyang, S Chang, K McKeown
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Mandates: US National Science Foundation
Detecting urgency status of crisis tweets: A transfer learning approach for low resource languages
ES Kayi, L Nan, B Qu, M Diab, K McKeown
Proceedings of the 28th International Conference on Computational …, 2020
Mandates: US Department of Defense
MFRED, 10 second interval real and reactive power for groups of 390 US apartments of varying size and vintage
CJ Meinrenken, N Rauschkolb, S Abrol, T Chakrabarty, VC Decalf, ...
Scientific Data 7 (1), 375, 2020
Mandates: US Department of Energy
Controllable meaning representation to text generation: Linearization and data augmentation strategies
C Kedzie, K McKeown
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Mandates: US Department of Defense, US Office of the Director of National Intelligence
GAIA-A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.
T Zhang, A Subburathinam, G Shi, L Huang, D Lu, X Pan, M Li, B Zhang, ...
TAC, 2018
Mandates: US National Science Foundation, US Department of Defense
Neural network alignment for sentential paraphrases
J Ouyang, K McKeown
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
Zero-shot stance detection: Paradigms and challenges
E Allaway, K McKeown
Frontiers in Artificial Intelligence 5, 1070429, 2023
Mandates: US National Science Foundation
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